Simone Sharma
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- AI in cancer detection
- Anomaly Detection Techniques and Applications
-
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Pain Mechanisms and Treatments 2
-
- Parkinson's Disease Mechanisms and Treatments 2
- Neurological disorders and treatments 1
- Co-authors
- Siddharth Sharma (1 shared paper)Maggie Old Crow (2 shared papers)Franziska Denk (2 shared papers)Stephen Brendan McMahon (2 shared papers)Andrew S.C. Rice (1 shared paper)Daniel Ziemek (1 shared paper)Wenlong L. Huang (1 shared paper)Ben S. Sidders (1 shared paper)
- Journals
- Pain (1 paper)The FASEB Journal (1 paper)The Journal of Immunology (1 paper)Evolution & Development (1 paper)Neurobiology of Disease (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Simone Sharma
7 papers receiving 1.1k citations
Simone Sharma's Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 247
- Neurology 55
- Neurology 81
- Physiology 130
- Computer Vision and Pattern Recognition 105
Countries citing papers authored by Simone Sharma
This map shows the geographic impact of Simone Sharma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simone Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Sharma more than expected).
Fields of papers citing papers by Simone Sharma
This network shows the impact of papers produced by Simone Sharma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simone Sharma. The network helps show where Simone Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ACTIVATION FUNCTIONS IN NEURAL NETWORKS Hit paper breakdown → | 2020 | 867 |
| 2 | 2013 | 143 | |
| 3 | 2009 | 49 | |
| 4 | 2011 | 41 | |
| 5 | 2015 | 32 | |
| 6 | 2005 | 21 | |
| 7 | 2014 | 13 |
About Simone Sharma
Simone Sharma is a scholar working on Physiology, Neurology, Virology, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (2 papers), Pain Mechanisms and Treatments (2 papers), Insect and Arachnid Ecology and Behavior (1 paper), Neurological disorders and treatments (1 paper), Immunotherapy and Immune Responses (1 paper), Animal Behavior and Reproduction (1 paper), Neural Networks and Applications (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Artificial Intelligence (247 citations), Neurology (55 citations), Neurology (81 citations), Physiology (130 citations) and Computer Vision and Pattern Recognition (105 citations). Simone Sharma has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Siddharth Sharma, Maggie Old Crow, Franziska Denk, Stephen Brendan McMahon, Andrew S.C. Rice, Daniel Ziemek, Wenlong L. Huang, Ben S. Sidders, John Grist and Angela Bithell. Their work appears in journals such as Pain, The FASEB Journal, The Journal of Immunology, Evolution & Development and Neurobiology of Disease.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.